Task-Oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

Yaojia Zheng; Zhouwu Liu; Rong Mo; Ziyi Chen; Wei‐Shi Zheng; Ruixuan Wang

doi:10.1007/978-3-031-16452-1_19

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Task-Oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

Yaojia Zheng Zhouwu Liu Rong Mo Ziyi Chen Wei‐Shi Zheng Ruixuan Wang

Year: 2022 Lecture notes in computer science Pages: 193-203 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-16452-1_19

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Keywords:

Electroencephalography Computer science Anomaly detection Extractor Artificial intelligence Feature (linguistics) Convolutional neural network Pattern recognition (psychology) Anomaly (physics) Task (project management) Feature learning Machine learning Psychology Neuroscience Engineering

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Topics

EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Epilepsy research and treatment

Health Sciences → Medicine → Psychiatry and Mental health

Task-Oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

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